network.mc.scan: Monte Carlo scan statistic in social network

In taichi43/SNscan: Scan Statistics in Social Networks

Description

Evaluate scan statistics based on Monte Carlo data.

Usage

network.mc.scan(n, g, radius, attribute, model, pattern, 
	fix.edge= FALSE, max.prop = 0.5, xmin = NULL, zetatable =NULL)

Arguments

n	The size of the generated Monte Carlo data.
g	An igraph object.
radius	The radius of scanning windows. Default is 3.
attribute	The interested attribute which should be a data list including observations (obs) and population (pop).
model	The distribution of attribute which can be "norm.stat", "pois.stat", "binom.stat", and "multinom.stat".
pattern	The testing pattern of the network which can be "structure", "attribute", and "both".
fix.edge	Logical term: TRUE for generating fixed number of edges; FALSE for random number of edges. Default is FALSE.
max.prop	Numeric value, the maximum proportion of selecting graph. Default is 0.5.
xmin	Numeric value, the minimum value only for powerlaw stat. Default is 1.
zetatable	Zatatable is applied when power-law distribution is used. Default is NULL.

Details

All arguments should be exactly the same as the set applied in network.scan.

Value

A matrix will be returned. Each meaning of the row is equal to to network.scan. The test statistic in network.mc.scan is maximum in each Monte Carlo sample.

Author(s)

Taichi Wang <[e-mail]>

See Also

network.scan;graph.rmedge

Examples

#Please refer to the page of network.scan.

taichi43/SNscan documentation built on May 31, 2019, 2:48 a.m.